Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Fabian Hörst

Showing results (1-10 of 10) with videos related to

Pageof 1
Sort By:
European Radiology|June 7, 2025
De-identification of medical imaging data: a comprehensive tool for ensuring patient privacyMoritz Rempe, Lukas Heine, Constantin Seibold, et al.
Computer Methods and Programs in Biomedicine|January 23, 2026
CellViT<sup>++</sup>: Energy-efficient and adaptive cell segmentation and classification using foundation modelsFabian Hörst, Moritz Rempe, Helmut Becker, et al.
Translational Vision Science & Technology|July 16, 2025
Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence ModelsLukas Heine, Anna Vahldiek, Benja Vahldiek, et al.
Medical Image Analysis|March 20, 2024
CellViT: Vision Transformers for precise cell segmentation and classificationFabian Hörst, Moritz Rempe, Lukas Heine, et al.
Computer Methods and Programs in Biomedicine|May 23, 2024
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesJohannes Raufeisen, Kunpeng Xie, Fabian Hörst, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 19, 2023
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathologyOliver Ester, Fabian Hörst, Constantin Seibold, et al.
JCO Clinical Cancer Informatics|August 1, 2023
Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep LearningFabian Hörst, Saskia Ting, Sven-Thorsten Liffers, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 5, 2026
<SPAN style="font-weight: 400;">Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer</SPAN>Julius Keyl, René Hosch, Fabian Hörst, et al.
European Journal of Cancer (Oxford, England : 1990)|August 30, 2024
Early versus late response to PD-1-based immunotherapy in metastatic melanomaGeorg C Lodde, Fang Zhao, Rudolf Herbst, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
European Radiology|June 7, 2025
De-identification of medical imaging data: a comprehensive tool for ensuring patient privacyMoritz Rempe, Lukas Heine, Constantin Seibold, et al.
Computer Methods and Programs in Biomedicine|January 23, 2026
CellViT<sup>++</sup>: Energy-efficient and adaptive cell segmentation and classification using foundation modelsFabian Hörst, Moritz Rempe, Helmut Becker, et al.
Translational Vision Science & Technology|July 16, 2025
Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence ModelsLukas Heine, Anna Vahldiek, Benja Vahldiek, et al.
Medical Image Analysis|March 20, 2024
CellViT: Vision Transformers for precise cell segmentation and classificationFabian Hörst, Moritz Rempe, Lukas Heine, et al.
Computer Methods and Programs in Biomedicine|May 23, 2024
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesJohannes Raufeisen, Kunpeng Xie, Fabian Hörst, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 19, 2023
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathologyOliver Ester, Fabian Hörst, Constantin Seibold, et al.
JCO Clinical Cancer Informatics|August 1, 2023
Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep LearningFabian Hörst, Saskia Ting, Sven-Thorsten Liffers, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 5, 2026
<SPAN style="font-weight: 400;">Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer</SPAN>Julius Keyl, René Hosch, Fabian Hörst, et al.
European Journal of Cancer (Oxford, England : 1990)|August 30, 2024
Early versus late response to PD-1-based immunotherapy in metastatic melanomaGeorg C Lodde, Fang Zhao, Rudolf Herbst, et al.
Biomedizinische Technik. Biomedical Engineering|December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer visionJianning Li, Zongwei Zhou, Jiancheng Yang, et al.
Pageof 1